You will get complete NLP project, Classification, Sentiment and Text Analysis
Project details
My project, delivers a holistic and efficient framework. By integrating advanced NLP and ChatGPT, our solution excels in comprehensive text analysis, offering unparalleled insights through nuanced sentiment analysis. The synergy of these elements sets our project apart, providing a powerful tool for businesses and researchers alike.
Machine Learning Tools
BERT, ChatGPT, GPT-3, Keras, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$80
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | Unlimited | 6 | 4 |
Number of Model Variations | 3 | 5 | 8 |
Number of Scenarios | 3 | 5 | 8 |
Number of Graphs/Charts | 10 | 15 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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About Nadeem
AI Agent Developer | Voice AI | RAG Systems | Multi-Agent | LLM Apps
76%
Job Success
Khanewal, Pakistan - 12:31 pm local time
I'm an AI Engineer specialized in building production-ready AI Agents, Voice AI systems, RAG pipelines, and Multi-Agent frameworks, helping businesses automate workflows and unlock the real power of LLMs.
With 3+ years of hands-on experience, I build systems that don't just demo well. They work in production.
🔊 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
I build fully hands-free voice agents with real-time speech-to-text (Whisper), LLM reasoning, and natural text-to-speech output. From medical clinic receptionists to customer support bots and appointment schedulers, deployed via VAPI, Twilio, and FastAPI with sub-second response times.
📄 𝐑𝐀𝐆 𝐚𝐧𝐝 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈
I design custom Retrieval-Augmented Generation pipelines using LangChain, ChromaDB, Pinecone, and FAISS. My RAG systems include built-in evaluation for faithfulness, relevancy, and context precision, supporting use cases like medical Q&A, legal chatbots, and intelligent financial document extraction with 95%+ accuracy.
🧠 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬
I architect and orchestrate multi-agent networks using LangGraph, CrewAI, and AutoGen. These include streaming research agents, market intelligence platforms, and complex automation pipelines with tool calling and persistent memory.
💬 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐚𝐧𝐝 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬
I build GPT-4o and Claude-powered chatbots with long-term memory, tool use, and real-time integrations. From e-commerce assistants with live product search and order tracking to onboarding bots and KYC verification systems.
🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤
Python · LangChain · LangGraph · CrewAI · OpenAI API · Claude API Whisper · VAPI · Twilio · FastAPI · Flask · ChromaDB · Pinecone FAISS · PostgreSQL · TypeScript · React · Docker
𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚𝐧 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐬, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞, 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤. 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐜𝐥𝐞𝐚𝐧 𝐜𝐨𝐝𝐞, 𝐜𝐥𝐞𝐚𝐫 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐨𝐧-𝐭𝐢𝐦𝐞 𝐫𝐞𝐬𝐮𝐥𝐭𝐬.
📩 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬.
Steps for completing your project
After purchasing the project, send requirements so Nadeem can start the project.
Delivery time starts when Nadeem receives requirements from you.
Nadeem works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Preparation:
Gather relevant data from the client or external sources, ensuring it is clean, organized, and suitable for analysis.
Sentiment Analysis Implementation:
Utilize appropriate NLP techniques and tools to conduct sentiment analysis on the provided data. This may involve preprocessing, feature extraction, sentiment scoring, and model training/validation.